Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
What an ML-ful World! MLKit for Android dev.
Search
Britt Barak
October 12, 2018
Programming
0
130
What an ML-ful World! MLKit for Android dev.
Britt Barak
October 12, 2018
Tweet
Share
More Decks by Britt Barak
See All by Britt Barak
[Vonage] Introducing Conversations
brittbarak
1
130
Kids, Play Nice! Kotlin-Java Interop In Mind
brittbarak
2
450
Sharing is Caring- Getting Started with Kotlin Multiplatform
brittbarak
2
2.1k
Between JOMO and FOMO: You are reshaping communication.
brittbarak
2
1.3k
Build Apps For The Ones You Love
brittbarak
1
120
Make your app dance with MotionLayout
brittbarak
8
1.4k
Who's afraid of ML? V2 : First steps with MlKit
brittbarak
1
460
Oh, the places you'll go! Cracking Navigation on Android
brittbarak
0
480
The organic evolution - how and why we created peer mentorship program
brittbarak
0
56
Other Decks in Programming
See All in Programming
その面倒な作業、「Dart」にやらせませんか? Flutter開発者のための業務効率化
yordgenome03
1
140
Software Architecture
hschwentner
6
2.3k
ソフトウェア設計の実践的な考え方
masuda220
PRO
4
650
AI 駆動開発におけるコミュニティと AWS CDK の価値
konokenj
5
240
マンガアプリViewerの大画面対応を考える
kk__777
0
240
When Dependencies Fail: Building Antifragile Applications in a Fragile World
selcukusta
0
110
What Spring Developers Should Know About Jakarta EE
ivargrimstad
0
460
バッチ処理を「状態の記録」から「事実の記録」へ
panda728
PRO
0
190
Six and a half ridiculous things to do with Quarkus
hollycummins
0
210
kiroとCodexで最高のSpec駆動開発を!!数時間で web3ネイティブなミニゲームを作ってみたよ!
mashharuki
0
900
Writing Better Go: Lessons from 10 Code Reviews
konradreiche
3
6.5k
社会人になっても趣味開発を続けたい! / traPavilion
mazrean
1
100
Featured
See All Featured
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
15k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
36
6.1k
Why Our Code Smells
bkeepers
PRO
340
57k
Building Adaptive Systems
keathley
44
2.8k
Leading Effective Engineering Teams in the AI Era
addyosmani
7
600
Producing Creativity
orderedlist
PRO
347
40k
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
Facilitating Awesome Meetings
lara
57
6.6k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
230
22k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
30
2.9k
How GitHub (no longer) Works
holman
315
140k
Reflections from 52 weeks, 52 projects
jeffersonlam
353
21k
Transcript
What an ML-ful world Britt Barak
Once upon a time @BrittBarak
beta @BrittBarak
ML Capability ?! @BrittBarak
Who is afraid of Machine Learning? & First Steps With
ML-Kit @BrittBarak
Britt Barak Developer Experience, Nexmo Google Developer Expert Britt Barak
@brittBarak
None
@BrittBarak
= @BrittBarak
§ What’s the difference? @BrittBarak
…and classify? @BrittBarak
@BrittBarak
This is a strawberry @BrittBarak
This is a strawberry Red Seeds pattern Narrow top leaves
@BrittBarak Pointy at the bottom Round at the top
Strawberry Not Not Not Strawberry Strawberry Not Not Not @BrittBarak
~*~ images ~*~ @BrittBarak
@BrittBarak Vision library
Text Recognition @BrittBarak
Face Detection @BrittBarak
Barcode Scanning @BrittBarak
Image Labelling @BrittBarak
Landmark Recognition @BrittBarak
Custom Models @BrittBarak
Example @BrittBarak
@BrittBarak
@BrittBarak
Detector detector .execute(image) Result: @BrittBarak “Ben & Jerry’s pistachio ice
cream”
1. Setup Detector @BrittBarak
Local or cloud? @BrittBarak
@BrittBarak
Local •Realtime •Offline support •Security / Privacy •Bandwith •… @BrittBarak
Cloud •More accuracy & features •But more latency •Pricing @BrittBarak
1. Setup Detector @BrittBarak
Text Detector textDetector = FirebaseVision.getInstance() @BrittBarak
Text Detector textDetector = FirebaseVision.getInstance() .onDeviceTextRecognizer @BrittBarak
Text Detector textDetector = FirebaseVision.getInstance() .cloudTextRecognizer @BrittBarak
2. Process input @BrittBarak
FirebaseVisionImage •Bitmap •image Uri •Media Image •byteArray •byteBuffer @BrittBarak
image = FirebaseVisionImage.fromBitmap(bitmap) @BrittBarak Text Detector
3. Execute the model @BrittBarak
Text Detector textDetector.processImage(image) @BrittBarak
Text Detector textDetector.processImage(image) .addOnSuccessListener { } @BrittBarak
Text Detector textDetector.processImage(image) .addOnSuccessListener { firebaseVisionTexts -> processOutput(fbVisionTexts) } @BrittBarak
4. Process output @BrittBarak
firebaseVisionTexts.text @BrittBarak
someTextView.text = firebaseVisionTexts.text @BrittBarak UI
Result @BrittBarak
Result @BrittBarak
(another) Example : Labelling @BrittBarak
Detector detector .execute(image) Result: @BrittBarak ice cream pint
Vegetables Deserts Vegetables
1. Setup Detector @BrittBarak
Image Classifier imageDetector = FirebaseVision.getInstance() @BrittBarak
Image Classifier imageDetector = FirebaseVision.getInstance() .visionLabelDetector @BrittBarak
Image Classifier imageDetector = FirebaseVision.getInstance .visionCloudLabelDetector @BrittBarak
2. Process input @BrittBarak
image = FirebaseVisionImage.fromBitmap(bitmap) @BrittBarak Image Classifier
3. Execute the model @BrittBarak
Image Classifier imageDetector.detectInImage(image) @BrittBarak
Image Classifier imageDetector.detectInImage(image) .addOnSuccessListener{ } @BrittBarak
Image Classifier imageDetector.detectInImage(image) .addOnSuccessListener{ fBLabels -> processOutput(fBLabels) } @BrittBarak
4. Process output @BrittBarak
fbLabel.label fbLabel.confidence fbLabel.entityId @BrittBarak
UI for (fbLabel in labels) { s = "${fbLabel.label} :
${fbLabel.confidence}" } @BrittBarak
Result
Result
It is an ML-ful world Enjoy!
Thank you! Keep in touch!